Abstract
This paper presents a trace-based framework for assisting personalization and enrichment of end-user experience in an application. We propose a modular ontology-based architecture, to provide semantics for interaction traces, observed elements and their associated objects, and we extend existing inference services, with a declarative and generic approach, in order to reason with those interaction traces. We present the architecture of our framework and its reasoning levels, provide a proof of concept on a medical Web application, and emphasize that different kinds of actors can benefit from the supported inferences.
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Curé, O., Prié, Y., Champin, PA. (2012). A Knowledge-Based Approach to Augment Applications with Interaction Traces. In: ten Teije, A., et al. Knowledge Engineering and Knowledge Management. EKAW 2012. Lecture Notes in Computer Science(), vol 7603. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33876-2_28
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DOI: https://doi.org/10.1007/978-3-642-33876-2_28
Publisher Name: Springer, Berlin, Heidelberg
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